GeneSrF: gene selection with random forests

GeneSrF is a
web tool for gene selection in classification problems that uses random
forest. Two approaches for gene
selection are used: one is targeted towards identifying small,
non-redundant sets of genes that have good predictive performance. The
second is a more heuristic graphical approach that can be used to identify
large sets of genes (including redundant genes) related to the outcome of
interest. The first approach is described in detail in this
paper. The R code is available as an R package from
CRAN or
from this link.
For further details see the
help.

To use this web
tool you need to provide two files, one with the gene expression data and one with
the class labels, and press "Submit".